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Field
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, and progression outcomes) and high-end compute (hundreds of NVIDIA H100 GPUs) via Mila and the Digital Research Alliance of Canada, and involves active collaborations with Stanford, Oxford, Google
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It’s commendable if you have experience handling large-scale data analysis using cloud-based infrastructures such as Google Earth Engine or similar platforms. We prefer that you are familiar with
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App Store or Google Play Store to help you stay engaged, connected, and informed during your ORISE experience and beyond! Qualifications The DOE Scholars Program is open to all students and recent
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Google Earth Engin, R, Python, and STAN (e.g., deep learning, Bayesian regression models, spatial analyses), and running analyses on a high-performance computing cluster. Demonstrated record of publishing
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, modeling, or AI/ML approaches in agricultural or environmental research. -Proficiency in server administration, distributed computing, and cloud platforms (AWS, Azure, Google Cloud). -Knowledge of full-stack
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with ORISE...on the GO! Download the new ORISE GO mobile app in the Apple App Store or Google Play Store to help you stay engaged, connected, and informed during your ORISE experience and beyond
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statement (max. 3 pages) describing your research so far and your research plan for the postdoc; A full CV, including a list of publications and a link to your Google Scholar page; The names and e-mail
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Store or Google Play Store to help you stay engaged, connected, and informed during your ORISE experience and beyond! Point of Contact Kimberly Eligibility Requirements Citizenship: LPR or U.S. Citizen
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large remote sensing datasets (e.g., Landsat, Sentinel-2, MODIS) and spatial datasets (e.g., FACTs, FTEM, field data) both locally with R/Python and via Google Earth Engine for wild-treatment outcome
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Microsoft Office, Google, and/or applications as required for specific position KNOWLEDGE Adhere to University policies and procedures to meet Institutional goals and support University's mission for student